Focus : Cloud Computing , Computer Vision , Machine Learning
Specifications : Software Development , Cloud Computing
Reading, Swimming , Cooking , Football
Final Year Computer Science Student | Computer Vision & Machine Learning Enthusiast | Mobile & Web Developer I am a dedicated computer science student with a passion for computer vision, machine learning, and software development. My expertise includes building mobile and web applications, integrating machine learning models, and working with cloud-based services like Azure and Google Cloud. Key projects I’ve developed include a hospital management app, an event management mobile app, and a smart farming system. I also specialize in advanced video processing tools for sign language translation and real-time applications using Python, OpenCV, TensorFlow, and React. I'm committed to tackling complex problems and delivering innovative solutions in AI and software development.
Chatbot Integration: Implemented an intelligent chatbot to assist users with queries, providing real-time support and
enhancing user engagement.
• Resume Builder: Developed a comprehensive resume builder tool, allowing users to create and customize professional
resumes directly on the website.
• Role-Based Access Control: Designed distinct login credentials and dashboards for admin, staff, and users, ensuring
secure and personalized access to functionalities.
• Resume Builder: Developed a comprehensive resume builder tool, allowing users to create and customize professional
resumes directly on the website.
• User-Centric UI/UX: Crafted a standout user interface with an intuitive and interactive front-end, enabling seamless
navigation and enhanced user experience.
• Job Openings Page: Created a dedicated page for job openings, allowing users to search and view available positions
easily.
Objective: Conducted a comprehensive analysis of sleep patterns among students and its impact on academic and
extracurricular activities.
• Data Collection: Gathered and cleaned data on sleep habits, academic performance, and extracurricular involvement
using surveys and student records.
• Data Analysis: Utilized Python